FY 1998 Juvenile Justice and Delinquency Prevention Act Compliance Monitoring Report

This report was superseded by an amended FY 1998 compliance monitoring report prepared by Eric W. Weatherby, Juvenile Probabation Officer IV, Alaska Division of Juvenile Justice, July 2001.The Juvenile Justice and Delinquency Prevention Act (JJDPA) mandates removal of status offenders and nonoffenders from secure detention and correctional facilities, sight and sound separation of juveniles and adults, and removal of juveniles from adult jails and lockups. In Alaska, 3 instances of status offenders held in secure detention were recorded in FY 1998, compared with 485 violations in the baseline year of CY 1976. 2 separation violations were recorded in FY 1998, representing a 99.8% reduction from the CY 1976 baseline of 824 violations. 57 jail removal violations were projected (52 (actual), representing an 93% reduction from the CY 1980 baseline.Alaska Department of Health and Social Services, Division of Family and Youth ServicesA. General Information / B. Removal of Status Offenders and Nonoffenders from Secure Detention and Correctional Facilities / C. Full Compliance Request / D. Progress Made in Achieving Removal of Status Offenders and Nonoffenders from Secure Detention and Correctional Facilities / E. Separation of Juveniles and Adults / F. Removal of Juveniles from Adult Jails and Lockups / G. De Minimis Request: Substantive / APPENDICES / I. Method of Analysis / II. Fiscal Year 1998 Violations by Offense Type and Location / III. Common Offense Acronym

PERINATAL mHEALTH APPS: AN EVALUATION OF CONTENT AND THE PERCEPTIONS OF WOMEN WHO USE THEM

The number of mobile health applications for perinatal women has grown more than any other type of health application. The reason for this growth is likely due to the number of women who have mobile devices, the comfort level perinatal women have for accessing information on the internet, and the desire women have for health information while having children. Despite the growth in availability, there is limited information in the literature about the clinical use of perinatal mobile health applications as educational tools. The purpose of this study was to evaluate and assess the perinatal mobile health application marketplace and to understand the perceptions of women who used them for health information during childbearing. This information is important for healthcare providers, app developers, and the development of mobile health application standards and guidelines. The number of perinatal mobile health applications were assessed along with the information provided by the apps. Then, a select group of applications that supplied significant perinatal content were further evaluated for content accuracy, usability and security by women’s health experts. Key findings were that there were several available applications but many did not supply recommended educational content. Most applications evaluated by women’s health experts were found to be satisfactory. To understand women’s perceptions of perinatal mobile health applications, study participants were interviewed using a guide derived from concepts in the Health Information Technology Acceptance Model. Themes that emerged from this study were that women are able to gain support for their pregnancy through the use of mobile applications, they like that information is personalized to them based on their gestational age, and they expected providers to be able to recommend applications to them. Based on findings from this study, recommendations for healthcare providers are to find out what health applications are commonly used by patients in their practice and evaluate them using a systematic scoring system such as the Healthcare Smartphone Applications Evaluation Tool. Based on evaluations, providers should consider recommending a selection of health applications to future patients. Application developers should work with healthcare providers or professional healthcare organizations to ensure content accuracy. In addition, they should develop apps based on established guidelines and seek strategies to personalize information distributed to users. Mobile health application guidelines are currently being developed by healthcare organizations working in collaboration. These guidelines should include a process for verifying health application quality and provide a resource for providers to review and share evaluations of health applications

Weight Stigma & Communication Skills: Experiential Learning to Reduce Bias

Background: Weight-based bias contributes to disparate health outcomes. Implicit bias of healthcare professionals is a driver in these disparities. The purpose of this study was to evaluate weight bias in baccalaureate nursing students and to determine if interacting with a person who is obese in simulation decreased their weight bias. Design: A single group pretest-posttest parallel convergent mixed-methods design was used. Setting: All participants were baccalaureate nursing students enrolled in their first semester of nursing courses in one university in the western United States. Methods: Participants\u27 attitudes were measured using a survey comprised of the Fat-Phobia Scale, the Beliefs About Obese Persons scale, and open ended questions before and after introduction of a communication tool and simulation experience. Quantitative (t-test and Mann-Whitney U) and qualitative (content analysis) findings were triangulated under the Theory of Cultural Humility. Results: Students’ attitudes trended towards positive attributes, individualized patient-centered care, and cultural humility

Student Behaviors In a Virtual Reality-Based Clinical Setting: Lessons Learned

Nursing simulations in Virtual Reality (VR) are increasingly becoming a valuable tool utilized in nursing education world-wide to enhance learning and provide additional contextual learning experiences. Although technology is becoming more user-friendly, there is still a need for technological support being provided to nursing students. This project identified student support needs that were necessary for VR nursing simulations

Analyzing Learned Molecular Representations for Property Prediction

Advancements in neural machinery have led to a wide range of algorithmic solutions for molecular property prediction. Two classes of models in particular have yielded promising results: neural networks applied to computed molecular fingerprints or expert-crafted descriptors, and graph convolutional neural networks that construct a learned molecular representation by operating on the graph structure of the molecule. However, recent literature has yet to clearly determine which of these two methods is superior when generalizing to new chemical space. Furthermore, prior research has rarely examined these new models in industry research settings in comparison to existing employed models. In this paper, we benchmark models extensively on 19 public and 16 proprietary industrial datasets spanning a wide variety of chemical endpoints. In addition, we introduce a graph convolutional model that consistently matches or outperforms models using fixed molecular descriptors as well as previous graph neural architectures on both public and proprietary datasets. Our empirical findings indicate that while approaches based on these representations have yet to reach the level of experimental reproducibility, our proposed model nevertheless offers significant improvements over models currently used in industrial workflows

Religious practices among Islamic immigrants: Moroccan and Turkish men in Belgium

This study examines the religious participation of Islamic immigrants in Belgium using data from the Migration History and Social Mobility Survey collected in 1994–1996 from 2,200 men who had immigrated from Turkey and Morocco. Religious participation is measured as mosque attendance, fasting during Ramadan, and sacrificing a sheep at the Festival of Sacrifice. Results show that the religious participation of Islamic immigrants depends on both premigration and postmigration characteristics. Religious participation is higher among immigrants who: (1) attended a Koranic school in their country of origin, (2) were socialized in a religious region of their home country, (3) received little schooling, (4) currently live in an area of Belgium with a greater number of mosques, and (5) associate with a high number of co-ethnics. These results suggest that the religious participation of Islamic immigrants in Belgium is an outcome of characteristics unique to immigrants as well as processes common among the general population.

Ethnopolitics Across Central and Eastern Europe in a State of Flux: Time for Updating and Upgrading?

This chapter illustrates why and how the existing theoretical models in the study of ethnopolitics need to be updated in light of the latest developments and the increasing impact of new catalysts. These are, namely, anti-immigration and the rise of the populist and radical right across Central and Eastern Europe. This chapter hints that the more systematic cooperation between academic experts in nationalism and academic experts in the populist and radical right will enable: (a) the former to assess more accurately the degree to which new variables such as Euroscepticism and anti-immigrant trends can reshape ethnopolitics, both as a living reality and a field of study, across Central and Eastern Europe; (b) the latter to formulate new interpretative models about how (right-wing) populist and Eurosceptic actors embed their agendas inside the pre-existing political cultures of nationalism and particularistic identity and memory politics. This chapter introduces and outlines the ethnosymbolic approach as well as the triadic and quadratic configurations of ethnopolitics. Then, it proceeds into a more empirical assessment of the applicability of these theoretical approaches in a series of case studies during the 1990s, as well as the more recent emergence of new catalysts and the ensuing necessity to update and upgrade the existing theoretical models